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20122023
most citedRadion Candidate for the LHC Diphoton Resonance

71 citations · 495 across the 25 of their papers we have counts for

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hep-ph2023★ 2 cited

Tagging a Boosted Top quark with a final state

Amit Chakraborty, Amandip De, Rohini M. Godbole +1

Boosted top quark tagging is one of the challenging, and at the same time exciting, tasks in high energy physics experiments, in particular in the exploration of new physics signal…

hep-ph2022

Re-evaluating Jet Reconstruction Techniques for New Higgs Boson Searches

Amit Chakraborty, Srinandan Dasmahapatra, Henry Day-Hall +5

The ultimate motivation of our study is to look for signs of physics beyond the Standard Model (BSM). We investigate whether different jet clustering techniques might be more or le…

hep-ph2022★ 6 cited

Boosted top tagging and its interpretation using Shapley values

Biplob Bhattacherjee, Camellia Bose, Amit Chakraborty +1

Top tagging has emerged as a fast-evolving subject due to the top quark's significant role in probing physics beyond the standard model. For the reconstruction of top jets, machine…

hep-ph2022★ 1 cited

Flavon Signatures at the HL-LHC

Marco A. Arroyo-Ureña, Amit Chakraborty, J. Lorenzo Díaz-Cruz +3

The detection of a single Higgs boson at the Large Hadron Collider (LHC) has allowed one to probe some properties of it, including the Yukawa and gauge couplings. However, in order…

hep-ph2020★ 4 cited

Extraction of neutrino Yukawa parameters from displaced vertices of sneutrinos

Amit Chakraborty, Stefano Moretti, Claire H. Shepherd-Themistocleous +1

We study displaced signatures of sneutrino pairs potentially emerging at the Large Hadron Collider (LHC) in a Next-to-Minimal Supersymmetric Standard Model supplemented with right-…

hep-ph2020★ 33 cited

Neural Network-based Top Tagger with Two-Point Energy Correlations and Geometry of Soft Emissions

Amit Chakraborty, Sung Hak Lim, Mihoko M. Nojiri +1

Deep neural networks trained on jet images have been successful in classifying different kinds of jets. In this paper, we identify the crucial physics features that could reproduce…